Generating Face Image Dataset Using a 3D Head Model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU143328" target="_blank" >RIV/00216305:26230/21:PU143328 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/IC4ME253898.2021.9768496" target="_blank" >http://dx.doi.org/10.1109/IC4ME253898.2021.9768496</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IC4ME253898.2021.9768496" target="_blank" >10.1109/IC4ME253898.2021.9768496</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Generating Face Image Dataset Using a 3D Head Model

Popis výsledku v původním jazyce

Many classification algorithms depend on a training dataset to be able to find appropriate parameters. The training dataset can significantly affect the resulting quality of the classifier hence it is necessary to use as good dataset for given task as possible. Either there already is an available ready-to-use dataset or a new one must be created. It is rather tedious and time consuming process to create a new dataset from scratch because many algorithms usually require a large amount of tagged data. For many specific tasks the only way is to create a new dataset simply because there are no sets available. For the purposes of training and testing face detection and recognition algorithms we created a generator producing large number of images containing human head in various poses and positions placed in a predefined scene. The synthetically generated dataset may complement the dataset generated by the real data or may be used separately.

Název v anglickém jazyce

Generating Face Image Dataset Using a 3D Head Model

Popis výsledku anglicky

Many classification algorithms depend on a training dataset to be able to find appropriate parameters. The training dataset can significantly affect the resulting quality of the classifier hence it is necessary to use as good dataset for given task as possible. Either there already is an available ready-to-use dataset or a new one must be created. It is rather tedious and time consuming process to create a new dataset from scratch because many algorithms usually require a large amount of tagged data. For many specific tasks the only way is to create a new dataset simply because there are no sets available. For the purposes of training and testing face detection and recognition algorithms we created a generator producing large number of images containing human head in various poses and positions placed in a predefined scene. The synthetically generated dataset may complement the dataset generated by the real data or may be used separately.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/VJ01030006" target="_blank" >VJ01030006: Mezinárodní spolupráce ve forenzní analýze otisků prstů a obrázků obličeje pro službu kriminální policie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)

ISBN

978-1-6654-0638-3

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Rajshahi

Místo konání akce

Bangladesh

Datum konání akce

26. 12. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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